Hierarchical Clustering and K-Means Clustering to Identify Subgroups in Surveys (50 Patients)
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Clusters are subgroups in a survey estimated by the distances between the values needed to connect the patients, otherwise called cases. It is an important methodology in explorative data mining.
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